wangsilu0117,siluWang,github

Automated machine learning can facilitate the early diagnosis and timely treatment of diabetic retinopathy. Following the 1st Diabetic Retinopathy: Segmentation and Grading Challenge held with ISBI in 2018, we would like to promote the progress further through 2nd challenge using a new dataset, Deep Diabetic Retinopathy Image Dataset (DeepDRiD). The challenge is subdivided into three tasks as follows: A. Dual-View Disease Grading: Classification of fundus images according to the severity level of diabetic retinopathy using dual view retinal fundus images. B. Image Quality Estimation: Fundus quality assessment for overall image quality, artifacts, clarity, and field definition. C. Transfer Learning: Explore the generalizability of a Diabetic Retinopathy (DR) grading system. The robust and generalizable models are expected to be developed to solve clinical issues in reality.

detecting-diabetic-retinopathy

Deep learning applied to Kaggle's Diabetic retinopathy dataset.

eleme

Android 模仿饿了么点餐页面

eyeq

EyeQ : Dataset of Retinal Image Quality Assessment

foodordering

外卖点餐App，包含了基本订餐流程（支付方式未实现）。此外还集成了二维码扫描，当前定位城市天气查询，智能客服助手（图灵机器人），调用第三方地图导航，微信分享等功能

hanlp

中文分词词性标注命名实体识别依存句法分析语义依存分析新词发现关键词短语提取自动摘要文本分类聚类拼音简繁转换自然语言处理

hitsz-daily-report

基于Github Action的定时HITsz疫情上报脚本，开箱即用

hitsz_correction

the project of our software classA

hitsztreehole

HITSZ大创项目——树洞小程序

irop-iqa

Automated fundus image quality assessment tool for use in retinopathy of prematurity

os-project

this is 2020 hitsz OS project code Respo

rd-detection-ensemble-cnn

Ensemble of 3 convolutional neural network model with different convolutional network backbone (DensNet201, InceptionV3 and MobileNetV2) for diabetic retinopathy stage detection